Representative engagements
How we have helped enterprises transform their data capabilities with measurable outcomes and production-grade delivery.
Cloud data platform migration for a Fortune 500 utility
Challenge
15+ years of legacy on-premise data infrastructure spread across 12 business units. $4M+ annual maintenance costs. Query times exceeding 45 minutes for critical reports.
Approach
3-week infrastructure assessment, followed by a phased migration to Snowflake over 14 weeks. Implemented medallion architecture with centralized dbt transformations and Monte Carlo for automated data quality.
Outcome
All 12 business units now operate from a single governed warehouse with role-based access and automated lineage tracking.
Snowflake, dbt, Fivetran, Monte Carlo, Terraform, AWS
Production recommendation engine for a national retailer
Challenge
500+ stores and a growing e-commerce platform with 50M+ daily events. Existing rule-based recommendations had a 2% conversion rate.
Approach
Built a real-time recommendation engine using a two-tower neural network on SageMaker. Kafka for event streaming, Redis for real-time features, automated A/B testing.
Outcome
Personalized recommendations across web, mobile, and email with sub-50ms latency and 99.9% uptime.
PyTorch, SageMaker, Kafka, Redis, Snowflake, Airflow
Enterprise BI transformation for a global financial firm
Challenge
200+ legacy reports across Excel, Cognos, and custom SQL. Risk, compliance, and trading desks each had their own version of truth.
Approach
Governed semantic layer using dbt with Snowflake as single source of truth. Role-specific Tableau dashboards with row-level security and PII masking.
Outcome
Single source of truth serving all departments. Report creation dropped from weeks to hours.
Snowflake, dbt, Tableau, Alation, Great Expectations, Azure
Real-time data pipeline for a healthcare network
Challenge
40+ facilities with batch ETL running overnight. Clinical leaders made staffing decisions on 12-24 hour stale data.
Approach
HIPAA-compliant streaming platform using Kafka and Flink for real-time event processing. Snowflake as the analytical layer. End-to-end encryption.
Outcome
Real-time visibility into patient flow across the entire network, enabling proactive resource allocation.
Kafka, Apache Flink, Snowflake, Tableau, AWS, Terraform
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